Numerical Simulation of Softness Abrasive Two-Phase Flow Field on Level Set Method

Shi Ming Ji; Xiao Xing Weng; Da Peng Tan

doi:10.4028/www.scientific.net/AMR.154-155.197

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 154-155Numerical Simulation of Softness Abrasive...

Numerical Simulation of Softness Abrasive Two-Phase Flow Field on Level Set Method

Abstract:

The soft abrasive flow machining was proposed for solving the problems of difficult contact finishing in course of mould manufacturing. It could reach the specular level and control turbulence abrasive flow. Based on the topological structure transformation of LSM, a two- dimensional model of the two-phase flow is established. This mechanics model with the SIMPLE (semi-implicit method for pressure-linked equations) algorithm incorporated is used to simulate the movement of the turbulent flow by using of k-ε model. The computed results show that this 2D model can preferably simulate the movement of the two-phase flow, and the characteristic parameters of abrasive two-phase flow are derived.

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Periodical:

Advanced Materials Research (Volumes 154-155)

Pages:

197-201

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.154-155.197

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Online since:

October 2010

Authors:

Shi Ming Ji, Xiao Xing Weng, Da Peng Tan

Keywords:

K-ε Model, LSM, Softness Abrasive Flow, Structural Flow Surface

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References

[1] V.K. Jain, S.G. Adsul: International Journal of Machine Tools & Manufacture. Vol. 40: (2000), pp.1003-1021.

Google Scholar

[2] S.M. Ji, S.C. Zhang, X. Zhang, S.H. Zheng, et al: China Patent 10067628. 3(2007).

Google Scholar

[3] S. Osher, J.A. Sethian: Journal of Computational Physics. Vol. 79: (1988), pp.12-49.

Google Scholar

[4] R. Malladi, J.A. Sethian, B. C: Vemuri. IEEE Trans. Vol. 17: (1995), pp.158-175.

Google Scholar

[5] V. Caselles, R. Kimmel and G. Sapiro: International Journal of Computer Vision. Vol. 22: (1997), pp.67-79.

Google Scholar

[6] E. Sussman: Journal Computer Physics. Vol. 114: (1994), p.146.

Google Scholar

[7] H. Oka, K. Ishii: Journal physical society of Japan. Vol. 68: (1999), p.82.

Google Scholar

[8] S.V. Patankar, in: Numerical Heat Transfer and Fluid Flow, edited by Taylor and Franci, Hemisphere Publishing Corporation (1980).

Google Scholar

[9] S. Osher, R. Fedkiw: Journal of computational physics. Vol. 169: (2001), pp.463-502.

Google Scholar

[10] J. Xu: Chinese Journal Computer Physics. Vol. 15: (1998), p.349.

Google Scholar

[11] C. Yang, Z. Mao: Chinese Journal Chemical Engineering, Vol. 10: (2002), p.263.

Google Scholar